Latvian Team Lead

About this role

In this hourly, remote contractor role, you will work as a Latvian Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Latvian AI training projects. You will review AI-generated Latvian content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

Localization QA, Trainer Feedback, LLM Evaluation

Responsibilities

• Quality monitoring: Spot-check Latvian items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Latvian wording, grammar, case endings, diacritics, register, translation fidelity, and terminology.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain Latvian project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.

Qualifications

• Bachelor's or Master's degree in Latvian, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
• Native or near-native Latvian proficiency with strong reading and writing skills.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
• 3+ years of professional experience in Latvian writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
• Strong understanding of Latvian grammar, spelling conventions, punctuation, diacritics, declension, case endings, gender agreement, tone, register, and cultural context.